Australian Institute of Health and Welfare (2022) Understanding the wellbeing characteristics of ex-serving ADF members, AIHW, Australian Government, accessed 03 February 2023.
Australian Institute of Health and Welfare. (2022). Understanding the wellbeing characteristics of ex-serving ADF members. Retrieved from https://www.aihw.gov.au/reports/veterans/wellbeing-characteristics-of-ex-serving-adf
Understanding the wellbeing characteristics of ex-serving ADF members. Australian Institute of Health and Welfare, 01 September 2022, https://www.aihw.gov.au/reports/veterans/wellbeing-characteristics-of-ex-serving-adf
Australian Institute of Health and Welfare. Understanding the wellbeing characteristics of ex-serving ADF members [Internet]. Canberra: Australian Institute of Health and Welfare, 2022 [cited 2023 Feb. 3]. Available from: https://www.aihw.gov.au/reports/veterans/wellbeing-characteristics-of-ex-serving-adf
Australian Institute of Health and Welfare (AIHW) 2022, Understanding the wellbeing characteristics of ex-serving ADF members, viewed 3 February 2023, https://www.aihw.gov.au/reports/veterans/wellbeing-characteristics-of-ex-serving-adf
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The Veteran-centred model
About the research project
About the data
Who is included in this report?
As part of the Strategic Partnership between the Department of Veterans’ Affairs (DVA) and the Australian Institute of Health and Welfare (AIHW), the Veteran-centred model was developed in 2018 and supports the person-centred approach to understanding the experiences and outcomes of Australian’s veterans and their families (AIHW 2018b).
The term ‘veteran’ has been used in a variety of ways, ranging from describing former Australian Defence Force (ADF) personnel who were deployed to serve in war or war-like environments to more recently describing people who have any experience in the ADF including permanent, reserve, and former (ex-serving) personnel (Tehan 2017).
The Veteran-centred model is made up of seven domains across the health and welfare sector: Health, Housing, Social support, Education and skills, Employment, Income and finance, and Safety and justice (Figure 1). The domains in the model can be monitored in the context of individual factors, influences of the community and environment, and social determinants of health and wellbeing. More information on the veteran-centred model is available from the Development of a Veteran-centred model: a working paper.
To date, AIHW has used this model to inform the AIHW’s veterans analysis work program, with analysis predominantly exploring the Health and Housing domains. Through data linkage, analysis of four additional domains has been undertaken to investigate factors that influence the wellbeing of ex-serving ADF members and their families, including the Education and skills, Employment, Income and finance, and Social support domains. These domains align closely with high-level wellbeing factors currently in use by DVA, as described in their Veteran Mental Health and Wellbeing Strategy and National Action Plan 2020-2023.
This data integration project was funded by DVA as part of the Strategic Partnership work program and aims to describe the wellbeing status of ex-serving ADF members and their family members against domains in the Veteran-centred model. It is one of the first data integration projects to use Linkage Spine Interoperability (von Sanden 2020) that enables the Department of Defence (Defence) personnel data held at AIHW to be combined with data held at the Australian Bureau of Statistics (ABS) from the Multi-Agency Data Integration Project (MADIP) data asset without the need to share personal identifying information between each organisation. Linkage Spine Interoperability increases efficiency in creating integrated data products between two agencies, reduces risks of sharing personal information, and facilitates better use of person-centred data enabling the expansion of research to be undertaken (PMC 2022).
Both the AIHW and ABS are accredited Integrating Authorities, being responsible for ensuring data integration projects are conducted in sound, ethically approved and secure ways, and that researchers are provided safe and secure access to the integrated data. This data integration project was approved by both the AIHW Ethics Committee and Departments of Defence and Veterans’ Affairs Human Research Ethics Committee (DDVA HREC).
The ABS is trusted as the accredited Integrating Authority for MADIP. The ABS collects and combines the data, provides access to authorised researchers, and protects individual privacy and keeps the information available in MADIP secure at all times. More information on MADIP is available from the ABS website.
The main source of data for this report was the 2016 Census of Population and Housing (Census) data available from the MADIP data asset. The 2016 Census has been used in this analysis to provide baseline information about the wellbeing of ex-serving ADF members. Future work will investigate the wellbeing of ex-serving ADF members in the 2021 Census as well as other datasets in the MADIP and will provide insights into how the situation has changed over time. MADIP is a secure data asset which combines data from various government agencies on health, education, government payments, income and taxation, employment, and population demographics (including the Census) over time.
For each domain, the demographic and wellbeing characteristics of ex-serving members and their families (spouses and children) have been explored by sex and age, with comparisons with the Australian population provided for context. Further breakdowns by service characteristics at the time of separation from the ADF have been analysed to understand the relationship and possible impacts serving in the ADF has on a veteran’s and their families wellbeing. Defence personnel data provides insights based on various service characteristics including:
There are some limitations to both the data and analyses in this report. Only a small range of service characteristics were available for analyses, so it was not possible to examine the associations between occupations within the military or deployments and wellbeing in post-service life. Also, the Census only obtains data from those who were in Australia on Census night, so those ex-serving ADF members who were not in Australia were not able to be linked to Census. There are also instances where there is insufficient information on a person’s Census record to allow their record to be linked. Additionally, small counts limited the analyses that could be conducted in some cases.
This report is based on ex-serving ADF members who had served at least one day of service on or after 1 January 2001 and were ex-serving as at 31 December 2015 to ensure they were ex-serving, alive and aged 17 years or over at the time of the 2016 Census.
Of these 88,100 ex-serving ADF members, over 4 in 5 (83%) linked to the 2016 Census which resulted in an in-scope population of 72,700 ex-serving ADF members for this report.
Of the ex-serving ADF members represented in the MADIP linked data, 84% were males and 16% were females. The age structure for the ex-serving ADF members was different to the Australian population with a higher proportion aged between 25–44 and lower proportions aged 17–24 and over 55 years (Figure 2). Consequently, adjustments for age (aged-standardised) have been undertaken, where possible, for all analyses that compare ADF members to the Australian population. Data comparisons between different service characteristics have not been age-standardised due to small cell counts. As the age differences between the different service characteristics are not large, this does not alter the comparisons except where specifically stated.
The interactive data visualisation shows the age distribution of ex-serving ADF males, ex-serving ADF females, Australian males, and Australian females in 2016. Age has been grouped into 17-24 years, 25-34 years, 35-44 years, 45-54 years, and 55 years and over. The age structure for the ex-serving ADF members was different to the Australian population with a higher proportion aged between 25–44 years and lower proportions aged 17–24 and over 55 years.
In line with the distribution of ADF members across the three Services, the majority (62%) of ex-serving ADF members in the MADIP linked data had separated from the Army. The proportions who had separated from the Navy and Air Force were 20% and 19% respectively. Higher proportions of ex-serving ADF females had separated from the Navy (26%) and Air Force (22%) compared to ex-serving ADF males (19% and 18% respectively), while 53% of ex-serving females and 63% of ex-serving males had separated from the Army.
Almost 1 in 5 (19%) were Commissioned Officers and just over 4 in 5 (81%) were Other Ranks at the time of separation from the ADF. These proportions were similar for males and females.
Nearly half of ex-serving ADF members separated from the ADF with 10 or more years of service (49% for males and 43% for females). The next most common length of service was between 1 and less than 5 years of service with the ADF, with 23% of ex-serving ADF males and females serving for this length of time.
The average time since separation was just over 7 years for both males and females. Just under 2 in 5 (37%) ex-serving members separated 10 or more years ago (from 31 December 2015), followed by close to a third (30%) between 5 and 10 years ago. Around 6.9% separated less than 1 year ago. Rates were similar for males and females.
Queensland was home to the highest proportion of ex-serving ADF members in 2016, with 31% living there. A further 24% lived in New South Wales, with Victoria and Western Australia home to 17% and 11% respectively (Figure 3). Almost two-thirds (64%) of ex-serving ADF members lived in major cities, while a further 23% lived in inner regional areas. Outer regional areas were home for 11%, while 1.9% of ex-serving ADF members lived in remote and very remote areas of Australia. In comparison 71% of Australians lived in major cities, while 18% resided in inner regional areas and 9% lived in outer regional areas in 2016.
The interactive data visualisation shows the highest proportion of Australians at 31.5% lived in New South Wales, whilst the highest proportion of ex-serving ADF members at 31.0% lived in Queensland.
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